False dichotomies, begging the question and the knowledge-skills debate

For words, like nature, half reveal And half conceal the soul within
Alfred Tennyson, In Memoriam

A lot of the time, I hear people say that the tired old ‘knowledge-skills’ debate is a false dichotomy. This is of course true. Knowledge and skills are not polar opposites. But a lot of people who say that it’s a false dichotomy go on to make what I think is a further misconception. They say – ‘we should teach both’ or that ‘we should have a balance – let’s make sure we don’t get too knowledge heavy/too skills heavy’. Knowledge and skills are definitely a false dichotomy, but to say that ‘we should teach both’ does not necessarily follow.

‘Skill’ is a very useful descriptive term. If I say of someone ‘he’s a highly skilled footballer’, I don’t mean that he knows a lot about football. I mean that he is excellent at playing football. If I say someone is a highly skilled maths problem-solver, I don’t mean that they are good at solving a lot of routine textbook tasks. I mean that they can be confronted with a completely new and unexpected maths problem and they can solve it.

But whilst the word skill is very useful at describing a reality, I’m not sure it is so useful at providing us with analysis of that reality. Here is what Herbert Simon says about the ability of words to confuse rather than explain.

The magic of words is such that, when we are unable to explain a phenomenon, we sometimes find a name for it as Molière’s physician ‘explained’ the effects of opium by its dormitive property. So we ‘explain’ superior problem-solving skill by calling it ‘talent’, ‘intuition’, ‘judgment’ and ‘imagination’.[i]

This Molière reference is an example of circular reasoning, or of begging the question. You hear politicians do this a lot. I heard a politician on Radio 5 a few months ago respond to the question ‘what makes a good teacher?’ with the answer ‘someone who is very very skilled at being in the classroom’. I don’t begrudge politicians their use of this tactic: they’re put on the spot a lot, they don’t want to necessarily commit to something that they regret later, so they simply answer a question by restating the question. Fair enough. But if we want to find out the root causes of a phenomenon, we have to go beyond this.

In the play which Simon refers to, Molière is deliberately satirising the way that language allows you to beg the question. The original quotation is actually in a kind of pig Latin, designed to mock medical pomposity. It goes like this.

This is particularly effective as a parody because of the similarity of the words ‘dormire’ and ‘dormitiva’. In the unlikely event that anyone ever asks me for my advice on the translation of this line into English prose, I would recommend that for maximum comic effect you want something like this:

Why does opium make you sleepy? Well, it’s because of its sleep-inducing properties!

I think this works because the similarity of ‘sleepy’ and ‘sleep-inducing’ highlight the circular reasoning – and hence the absurdity. Much less effective as a joke – but more effective as an obfuscating tactic – would be the following:

Why does opium make you sleepy? It’s its dormitive properties.

This is less effective because sleepy and dormitive don’t sound the same, so the reasoning doesn’t sound as circular. The reasoning is just as circular, but it doesn’t seem to be. You could well imagine a confident and forthright doctor bamboozling an uncertain patient with just such a choice of words. It helps that dormitive is a Latinate word and sleep is Anglo-Saxon, because Latinate words tend to sound much more impressive and professional than their Anglo-Saxon synonyms.[ii] A number of logicians have noted that the number of synonyms in English make it easy to beg the question. In The Problem of Logic, Gibson and Klein write that ‘a Sophist may bring forth a proposition expressed in words of Saxon origin, and give as a reason for it the very same proposition stated in words of classical origin.’ They then quote an example of this from Whateley’s Elements of Logic: ‘To allow every man an unbounded freedom of speech must always be, on the whole, advantageous to the State, for it is highly conducive to the interests of the community that each individual should enjoy a liberty perfectly unlimited of expressing his sentiments.’

Let me make one thing clear. Describing opium as having dormitive properties is very useful. The word dormitive does help us to understand an important feature of opium. But it doesn’t help us to explain why opium has this property. It’s a descriptive word, not one that explains. As Simon goes on to say:

Behind such words, however, there usually lies a reality we must discover if we are to understand expert performance. One label often applied to persons skilful in solving physics and engineering problems is ‘physical intuition’. A person with good physical intuition can often solve difficult problems rapidly and without much conscious deliberation about a plan of attack. It just ‘occurs to him (or her)’ that applying the principle of conservation of momentum will cause the answer to fall out, or that a term in kinetic energy can be ignored because it will be small in comparison with other terms in an equation. But admitting the reality of physical intuition is simply the prelude to demanding an explanation for it. How does it operate, and how can it be acquired?

The same is true of the word ‘skill’. It is excellent at describing a phenomenon we all recognize. But it is less good at explaining how we have acquired or can acquire that property. To describe someone as a good solver of maths problems may be true, and useful. But to attempt to explain that she is good at maths problems because of her high levels of mathematical skill is less useful.

So, what does cause high levels of mathematical skill, or any other skill? This is the question Simon concerns himself with in the rest of his article. You can read his conclusions in the article, but I will quote briefly.

In every domain that hasbeen explored, considerable knowledgehas been found to be an essential prerequisiteto expert skill. Our growing understanding of an expert’s knowledge and the kinds of processes an expert uses when solving problems enables us to begin to explore the learning processes needed to acquire suitable knowledge and problem-solving processes. We have no reason to suppose, however, that one day people will be able to become painlessly and instantly expert. The extent of the knowledge an expert must be able to call upon is demonstrably large, and everything we know about human learning processes suggests that, even at their most efficient, those processes must be long exercised. Although we have a reasonable basis for hope that we may find ways to make learning processes more efficient, we should not expect to produce the miracle of effortless learning.

A quotation from another Simon essay, this time about chess expertise, is also relevant:

The question is: how does one become a master in the first place? The answer is practice-thousands of hours of practice. This is implicit in the EPAM theory; what is needed is to build up in long-term memory a vast repertoire of patterns and associated plausible moves. Early in practice, these move sequences are arrived at by slow, conscious heuristic search -“If I take that piece, then he takes this piece . . .”-but with practice, the initial condition is seen as a pattern, quickly and unconsciously, and the plausible move comes almost automatically. Such a learning process takes time – years – to build the thousands of familiar chunks needed for master level chess. Clearly, practice also interacts with talent, and certain combinations of basic cognitive capacities may have special relevance for chess. But there is no evidence that masters demonstrate more than above-average competence on basic intellectual factors; their talents are chess specific (although World Champion caliber grandmasters may possess truly exceptional talents along certain dimensions). The acquisition of chess skill depends, in large part, on building up recognition memory.[iii]

Anderson says something similar.

All that there is to intelligence is the simple accrual and tuning of many small units of knowledge that in total produce complex cognition. The whole is no more than the sum of its parts, but it has a lot of parts.[iv]

What we see, therefore, is that the phenomenon of skill which we observe all the time is explained by the knowledge we have in long-term memory and the practice we have at retrieving that specific knowledge from memory.

Therefore, to say that ‘knowledge and skills are a false dichotomy: we should teach both skills and knowledge’ is slightly flawed. What Simon shows us is that it isn’t really possible to teach skills in this abstract fashion. We achieve skilled performance through committing knowledge to long-term memory and practising using it. So more accurate would be ‘knowledge and skills is a false dichotomy: if pupils commit knowledge to memory and practise retrieving it from memory, that will cause skilled performance’.

It may be argued that I am splitting hairs here and this is a minor semantic point. And it is indeed true that there are doubtless many people who talk about teaching skills who nevertheless are in fact teaching the building blocks of knowledge that will cause skilled performance. But the reason why I think it’s worthwhile dwelling on this is that too often that is not the case. Too often, this semantic point is the root of actual bad practice. If you think that your teaching time should be divided equally or in some kind of proportion between teaching knowledge and teaching skills, the time that is given over to teaching skills will very likely be devoted to practice that won’t actually improve skills. For example, you might spend time teaching generic reading skill by getting pupils to skim texts, scan them and find the main idea. But these tactics have a very limited benefit because reading is not a generic skill. Reading depends on knowledge, so if you want to improve your pupils’ reading skill, you would be better off spending your time on vocabulary acquisition or indeed teaching pupils knowledge from other subjects.

It’s for this reason that each chapter of my book begins with an analysis of a common education theory, and then an analysis of the practice that theory gives rise to. If the only problem here was one of confused terms, then there wouldn’t really be much of a problem. But in this case, and indeed many others, when we confuse the words we use to describe and explain reality, it often leads to our actions becoming confused too. I began this post with a quotation from Tennyson about how words can mislead; Confucius understood this problem too.

If language is not correct, then what is said is not what is meant; if what is said is not what is meant, then what must be done remains undone; if this remains undone, morals and art will deteriorate; if justice goes astray, the people will stand about in helpless confusion. Hence there must be no arbitrariness in what is said. This matters above everything.[v]

The other semantic problem this gives rise to is that when I talk about teaching knowledge, a lot of people worry that I am not concerned about skills. I am absolutely concerned with skills. The end point of education should be to produce skilled individuals. My point is that the best way to achieve that aim is not to teach skills; it’s to teach knowledge.

[ii] And, of course, in the famous case of pig/pork and cow/beef this Anglo-Saxon/Latinate class divide is built into the very meaning of the words – the Anglo-Saxon word is used for the animal and the Latinate word for the meat you eat.

[v] I know that Andrew Old will point out that we don’t have any good record that Confucius actually said this. That’s true, but this quotation is taken from the Arthur Waley edition of Confucius’s Analects, which is at least a reliable edition of what people think Confucius might have said. Arthur Waley, The Analects of Confucius, New York: Alfred Knopf , 2000, p.161.

11 thoughts on “False dichotomies, begging the question and the knowledge-skills debate”

Thanks for such a great blog post – thought provoking for this purveyor of independent learning skills alongside knowledge acquisition. I still have to disagree a little, based on my classroom experience. One example amongst many would be two students in my Y10 class. Student A is highly knowledgable about the subject matter in my GCSE (RS – Philosophy and Ethics with Christianity as the “focus” religion). She is from a Catholic background and really knows her Rosary Beads from her Sacrificial Wafers. Student B on the other hand has surface knowledge of such things, but has tremendous skill at philosophical argument. He is currently producing full mark answers through a grasp of the skills I have been teaching (substantiating conclusions with logical reasoning and evidence etc…). Student A, with a load of knowledge about the topics cannot construct such a case. Student B has the ability to interrogate a small amount of knowledge in a particular fashion, whereas Student A has the stuff, but no critical mindset. I think that the point I am trying to make is that Student A has MORE knowledge, but less skill. Does this pose any difficulties for your argument? (maybe not, I am on a third beer…..)

Very well written as always. Quick point of clarification – obviously the debate on what the distinction is between ‘knowledge’ and ‘skill’ is ancient (few philosophers seem to handle this without reference to Aristotle!), but I’d be interested to know where you stand on the distinction. For example, do you buy the distinction between propositional knowledge and procedural knowledge, and if so equate the latter with ‘skill’? It is interesting that in everyday speech we say ‘I know how to do that’ – e.g. I know how to drive a car, or I know how to cut an onion. In short, do you see ‘skill’ as a subset of ‘knowledge’, or do you see it as a qualitatively different thing?

“What we see, therefore, is that the phenomenon of skill which we observe all the time is explained by the knowledge we have in long-term memory and the practice we have at retrieving that specific knowledge from memory.”

We do not see ‘expert’ skill levels all the time at all, is that not the whole point?

An interesting switch. Much of your article talks of being an ‘expert’. Expert mathematician, expert chess player. The expert practices for 10 years typically?

Are you suggesting that most kids who learns maths at KS1, KS2, KS3 or GCSE become ‘experts’?

If not why do you apply the same assumptions about automatising procedures by embedding knowledge.

I don’t believe we wish to make students into experts as among other things they are unable to devote the resources required for deliberate practice over 10 subjects.

If it is the case that students will remain relatively novice (but quite knowledgeable compared to thos who have not studied) then they tackle problems in different ways to experts.

Even experts have to learn skills which are then automatised, and when faced with an unfamiliar problem being an expert is of little use it seems. An expert becomes a novice.

What makes you think that it is not necessary or even possible to teach skills to novices?

I wondered what you thought of this study. It seems to go against the conclusion that gaining lots of well-memorised factual knowledge automatically makes you skilled, and therefore that only knowledge needs to be taught. This study found that American Freshman science students had much less science subject knowledge compared to Chinese Freshman science students, but both performed very similarly on tests of scientific reasoning.